Psychiatry

Latest AI and machine learning research in psychiatry for healthcare professionals.

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Classifying and visualizing medication use in the Adolescent Brain Cognitive Development (ABCD) Study

Medication use during adolescence provides important insight into current health and treatment patte...

Information Leakage and Performance Overestimation in EEG-Based Schizophrenia Detection: Evidence from Literature and Empirical Analyses

Detecting schizophrenia (SZ) from electroencephalography (EEG) signals using machine- and deep learn...

Shared genetic architecture of brain age gap across 30 cohorts worldwide

Deviations from normative brain ageing trajectories are linked to a wide range of adverse health out...

STELLA: Safety Testing Engine for Large Language Assistants

Assistants incorporating large language models are increasingly applied in the context of health car...

Multimodal MRI Marker of Cognition Explains the Association Between Cognition and Mental Health in UK Biobank

Cognitive dysfunction often co-occurs with psychopathology. Advances in neuroimaging and machine lea...

Evaluation of large language model chatbot responses to psychotic prompts

The large language model (LLM) chatbot product ChatGPT has accumulated 800 million weekly users sinc...

Clustering high-cost patients in England using machine learning: a population-based cohort study

To identify clusters of high-cost patients in England based on diagnoses and sociodemographic charac...

Machine learning-optimized perinatal depression screening: Maximum impact, minimal burden

Perinatal depression affects up to 30% of pregnant and postpartum women, which has increased since t...

Effect and Mechanisms of a Voice-based Coach using AI on Psychological Distress: A Phase 2 Randomized Trial

Artificial Intelligence (AI) voice applications have the potential to address the unmet treatment ne...

Detecting Mental Disorders in Social Media Using a Transformer-Based Ensemble of Binary Classifiers

This study introduces a novel transformer-based ensemble framework for the multi-label detection of ...

Mapping heterogeneity in the neuroanatomical correlates of depression

Major depressive disorder (MDD) affects millions worldwide, yet its neurobiological underpinnings re...

TRUSTING: An International Multicenter Observational Study of Speech-Based Relapse Prediction in Psychosis Using Explainable AI

The course of psychotic disorders typically involves relapses. Early warning signs vary between indi...

Peripheral Metabolic–Redox Signaling as a Core Mechanism of Major Depressive Disorder: Evidence From Deep Metabolomic Phenotyping

Major depressive disorder (MDD) is a neuro-immune, oxidative, and nitrosative stress (NIMETOX) disor...

Natural language markers of drug context encoding track neural synchrony and treatment progression in heroin use disorder

Language transforms subjective internal states into observable behavior, enabling investigation of t...

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